Model overview
Ethio-ASR is a suite of multilingual Automatic Speech Recognition (ASR) models that support five Ethiopian languages: Amharic, Tigrinya, Afaan Oromo, Sidama, and Wolaytta. The ASR model in this repo is based on the wav2vec2‑bert-2.0 pre-trained model by fine-tuning it on the WAXAL Speech Dataset. - **Developed by:** Ethio-ASR Team - **Task:** Speech Recognition (ASR) and Language Identification (LID) - **Languages:** Amharic, Tigrinya, Afaan Oromo, Sidama, and Wolaytta - **License:** CC-BY-4.0 - **Finetuned from:** facebook/w2v-bert-2.0 *📌 ASR model in this HF repo* | Model | # Params | Amharic | Tigrinya | Oromo | Wolaytta | Sidaama | Avg. | |------|----------|----------|-----------|--------|-----------|----------|------| | Ethio-ASR (afrihubert) | 92M | 30.95 | 42.42 | 27.57 | 40.44 | 34.02 | 35.08 | | Ethio-ASR (mms-300) | 300M | 30.19 | 41.62 | 26.41 | 39.10 | 32.66 | 33.99 | | Ethio-ASR (mms-1b) | 1B | 26.14 | 37.63 | **23.69** | **37.51** | **31.02** | 31.20 | | **Ethio-ASR (w2v-bert-2.0)** 📌 | 600M | **22.92** | **35.22** | 24.44 | 38.19 | 31.65 | **30.48** |
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：cc-by-4.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。